Get the latest tech news
AMD's MI300X Outperforms Nvidia's H100 for LLM Inference
Discover if AMD's MI300X accelerator can outperform NVIDIA's H100 in real-world AI workloads. Early results are in!
To start, we focused on Mixture of Expert (MoE) architectures due to their compute efficiency and popularity – notably used by Mistral, Meta, Databricks, and X.ai for their most powerful open-source LLMs. The initial results are impressive: using MK1’s inference software, the MI300X achieves 33% higher throughput compared to the H100 SXM running vLLM on Mixtral 8x7B for a real-world chat use case. Given its impressive performance, competitive cost, and hardware availability, the MI300X with MK1 software is an excellent choice for enterprises looking to scale their AI inference capabilities.
Or read this on Hacker News
